Statements (64)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:allows |
customizable knowledge bases
importing data from various sources |
| gptkbp:developedBy |
gptkb:Microsoft
|
| gptkbp:enables |
self-service solutions
|
| gptkbp:hasAccessTo |
REST_API
|
| https://www.w3.org/2000/01/rdf-schema#label |
QnA Maker
|
| gptkbp:integratesWith |
gptkb:Microsoft_Bot_Framework
|
| gptkbp:integration |
gptkb:Microsoft_Teams
|
| gptkbp:is_part_of |
AI ecosystem
cloud-based solutions digital transformation initiatives |
| gptkbp:isAvailableIn |
multiple regions
Azure Marketplace |
| gptkbp:isCompatibleWith |
various programming languages
Power Virtual Agents |
| gptkbp:isCounteredBy |
Azure Portal
|
| gptkbp:isDesignedFor |
developers and data scientists
|
| gptkbp:isIntegratedWith |
Azure Functions
Azure Logic Apps |
| gptkbp:isOptimizedFor |
high availability
|
| gptkbp:isPartOf |
gptkb:Azure_Cognitive_Services
AI-driven customer engagement solutions |
| gptkbp:isUsedFor |
customer support
enhance user experience web applications improve customer satisfaction reduce operational costs facilitate knowledge sharing streamline workflows create interactive experiences automate responses automate FAQs create FAQ bots create knowledge bases from documents enhance product support internal knowledge management provide instant answers train_AI_models |
| gptkbp:isUsedIn |
chatbots
|
| gptkbp:isUtilizedFor |
businesses
data-driven decision making real-time customer insights |
| gptkbp:offers |
training resources
analytics and insights custom branding options secure data handling customizable response formats scalability for large datasets |
| gptkbp:provides |
real-time updates
question and answer capabilities easy-to-use interface user-friendly documentation cloud storage for data pre-built question and answer pairs support for voice interactions |
| gptkbp:supports |
multiple languages
data privacy compliance integration with third-party applications multi-turn conversations custom training feedback loops for improvement versioning of knowledge bases |
| gptkbp:uses |
natural language processing
|